Cloud Data Engineer | Cloud Platforms (AWS, GCP, Azure), Data Pipelines, Spark, BigQuery, Data Security & Governance

Job Summary
Synechron is seeking an experienced Cloud Data Engineer to design, develop, and optimize scalable, cloud-native data platforms supporting enterprise analytics and data-driven decision-making. This role involves building robust data pipelines, supporting cloud migrations, implementing data security and governance, and collaborating with data science, analytics, and platform teams to deliver reliable, secure, and high-performance data solutions aligned with organizational objectives.

Software Requirements

• Required:

  
  

  • Extensive experience with cloud data services including Snowflake, BigQuery, Azure Data Lake, or Amazon Redshift for scalable data storage and warehousing

    
    

  • Hands-on expertise in building data pipelines using Spark (PySpark), Python, and SQL for large-scale data processing and transformation

    
    

  • Deep knowledge of cloud platforms (AWS, Azure, GCP) supporting data lakes, analytics, and ETL workflows

    
    

  • Proficiency with data modeling, query optimization, and security best practices

    
    

  • Experience supporting data migration, automation, and data governance using tools such as Terraform or CloudFormation

    
    

• Preferred:

  
  

  • Knowledge of data lake architectures and metadata management frameworks

    
    

  • Experience with big data ecosystems like Hadoop, Kafka, or Hive supporting enterprise data needs

    
    

  • Exposure to machine learning workflows supporting data preparation and feature engineering

    
    

Overall Responsibilities

• Design, develop, and support scalable data pipelines supporting enterprise analytics, reporting, and AI workflows

  
  

• Implement data transformation, cleansing, and enrichment processes leveraging Spark, SQL, and Python for high data quality

  
  

• Collaborate with data scientists, ML engineers, and platform teams to support data ingestion and feature processing

  
  

• Support cloud migration initiatives, ensuring data platform scalability, security, and compliance

  
  

• Automate data workflows, infrastructure provisioning, and deployment processes supporting CI/CD pipelines

  
  

• Monitor data pipeline performance, troubleshoot issues, and optimize storage and compute resources

  
  

• Enforce data security, privacy, and compliance policies across all platforms

  
  

• Document architecture, data models, security policies, and operational procedures

  
  

Technical Skills (By Category)

• Languages & Frameworks:
  Python (advanced), SQL, Spark (PySpark), Scala (preferred) for large-scale data processing and automation

  
  

• Data Management & Storage:
  Snowflake, BigQuery, Azure Data Lake, Hadoop, data lakes, data warehouses, data modeling, query tuning

  
  

• Cloud Platforms:
  AWS, Azure, GCP supporting data lake, warehouse, and analytics deployment

  
  

• Tools & Ecosystem:
  Terraform, CloudFormation, Apache Airflow, Kubernetes, Docker, data pipeline orchestration tools

  
  

• Analytics & Machine Learning:
  Supporting data prep workflows for ML models using frameworks like TensorFlow or PyTorch (preferred)

  
  

• Security & Governance:
  Data encryption, access control, data masking, and compliance standards (GDPR, HIPAA, PCI DSS)

  
  

Experience Requirements

• Minimum of 6 years supporting enterprise data platforms supporting analytics, BI, or ML workflows

  
  

• Proven experience building, optimizing, and securing large-scale cloud data pipelines

  
  

• Hands-on experience with cloud data storage platforms such as Snowflake and BigQuery

  
  

• Experience supporting data migration projects and implementing data governance frameworks

  
  

• Industry experience in finance, healthcare, or large enterprise data environments is a plus

  
  

Day-to-Day Activities

• Design and implement scalable, secure data pipelines supporting analytics and ML workflows

  
  

• Collaborate with data scientists, analytics, and platform teams to support data ingestion, feature engineering, and model deployment

  
  

• Automate data workflows and infrastructure management supporting CI/CD pipelines

  
  

• Troubleshoot pipeline performance, data quality issues, and security concerns

  
  

• Support cloud migration projects by optimizing storage, compute, and data pipelines supporting multi-region deployments

  
  

• Maintain documentation of data architecture, schemas, policies, and operational procedures

  
  

• Monitor system health through dashboards, logs, and analytics tools to proactively address issues

  
  

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, or related discipline

  
  

• 6+ years supporting or developing enterprise data pipelines, warehouses, or lakes on cloud platforms

  
  

• Certifications such as Google Professional Data Engineer, AWS Big Data certifications, or Azure Data Engineer are a plus

  
  

• Demonstrated ability to deliver reliable, scalable, and compliant data solutions supporting enterprise analytics and ML

  
  

Professional Competencies

• Analytical and troubleshooting skills for complex data pipeline issues

  
  

• Effective communication skills for collaborating with technical teams and stakeholders

  
  

• Leadership qualities to mentor junior engineers and foster best practices

  
  

• Strategic thinking to design scalable, secure, and compliant data platforms supporting business growth

  
  

• Adaptability to evolving technologies including cloud services, data governance, and analytics tools

  
  

• Organizational skills to manage multiple projects and meet deadlines efficiently

  
  

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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